Author

Beikang Gu

University of Georgia

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Biophysics· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:imaging· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Approach:simulation· 1

Frequent Co-Authors

Xianqiao WangiD· 2 shared Xianyan CheniD· 2 shared Akbar SolhtalabiD· 1 shared Dajiang zhu· 1 shared Ellen Kuhl AiD· 1 shared Galit H. FrydmaniD· 1 shared Gang Li· 1 shared He LiiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersBiophysics

Xianqiao WangORCID

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Author profile →

2 papers

Recent·Most cited

Grow2Fold: mapping heterogeneous developmental growth to human brain folding

Jixin Hou, Akbar Solhtalab, Kun Jiang, Beikang Gu, Tiantian Li, Xianyan Chen, Taotao Wu, Kenan Song, Yang Liu, Wenli Song, Dajiang zhu, Tianming Liu, Ellen Kuhl A, Gang Li, Mir Jalil Razavi, Xianqiao Wang

Grow2Fold models brain folding by integrating imaging data with mechanical simulations to show differential growth drives cortical folding patterns.

bioRxiv · Oct 9, 2026 · PreprintBiophysics

Automatic Classification of Circulating Blood Cell Clusters based on Multi-channel Flow Cytometry Imaging

Suqiang Ma, Subhadeep Sengupta, Yao Lee, Beikang Gu, Xianyan Chen, Xianqiao Wang, Yang Liu, Mengjia Xu, Galit H. Frydman, He Li

This study introduces a framework for automatically classifying circulating blood cell clusters using flow cytometry images, achieving over 95% accuracy in cluster classification and phenotype identification.

Engineering Applications of Artificial Intelligence · Dec 3, 2025Peer-reviewedBioinformatics